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He is a professor at MIT and is the director of the Center for Brains, Minds, and Machines. Cited over 100,000 times, his work has had a profound impact on our understanding of intelligence, in both biological neural networks and artificial ones...
Prof. Antonio Torralba
The Center is excited to announce another distinguished colleague as a research collaborator. Prof. Torralba is also the Director of the MIT Quest for Intelligence and Director of the MIT-IBM Watson AI Lab.
 A message from the Center for Brains, Minds and Machines
A warm "Thank You!" to everyone for another wonderful year of exciting advances at the Center for Brains, Minds and Machines. Looking forward to 2019!
Photo of Prof. Joshua Tenenbaum
“We selected Josh … because of his willingness to partner with experts across the board - from computer scientists and engineers to neuroscientists and cognitive psychologists … His work is bridging the gap between two seemingly distinct fields.”
Prof. Lorenzo Rosasco
Prof. Lorenzo Rosasco of the Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS) has won a European Research Council (ERC consolidator) grant with the project "Efficient algorithms for sustainable machine learning".
Venn diagram of Alphabet X
*Deadline Extended* - Alphabet (formerly Google) X announces residency program that is geared towards those who want to apply their AI abilities in experimental yet highly practical ways to make meaningful progress against seemingly intractable problems.
Baby using laptop
Advances in AI have spurred high interest in the technology, but the road to making machines intelligent remains a long one, said MIT's Josh Tenenbaum at the EmTech conference.
  Researchers showed humans, monkeys, and computer models an odd assortment of objects and scenes.  Jonas Kubilius/DiCarlo Lab
While artificial intelligence has been busy besting humans at Go and spawning eerily personable Alexas, some neuroscientists have a different hope: that the types of algorithms driving those technologies can also yield some insight into the human brain.
MIT researchers have devised a way to help robots navigate environments more like humans do.
In simulations, robots move through new environments by exploring, observing, and drawing from learned experiences: Humans can usually navigate spaces safely without thinking too much. Robots, on the other hand, struggle with such navigational concepts.
BMM Summer Course 2018 students working together
New investment supports intelligence research, student fellowships: Fujitsu and CBMM announced a multi-year philanthropic partnership focused on advancing the science and engineering of intelligence while supporting the next generation of researchers.
Photo of Prof. Rebecca Saxe
Prof. Saxe is best known for her discovery of a brain region that is specialized for "theory of mind," people's ability to think about the thoughts, beliefs, plans, hopes and emotions of other people.
Photo of Prof. Antonio Torralba  Antonio Torralba
Prof. Antonio Torralba has been named the inaugural director of the MIT Quest for Intelligence, effective immediately. Additional Quest leadership members, of both The Core and The Bridge, were also announced.
Mrs. Margaret McDermott
On May 3, 2018, Mrs. Margaret McDermott passed away at the age of 106. There are very few who have contributed to MIT as much as Margaret and her family did...
Patrick Winston at his desk
"Patrick Winston’s computer is learning about revenge, ambition, and murder. It knows that victory can make you happy. But it also knows you can’t be happy if you’re dead."
A striking feature of modern supervised machine learning is its pervasive over-parametrization. Deep networks contain millions of parameters, often exceeding the number of data points by orders of magnitude. These networks are trained to nearly ...

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